6 papers · 1 filter
StreamWise: Serving Multi-Modal Generation in Real-Time at Scale
Haoran Qiu, Gohar Irfan Chaudhry, Chaojie Zhang +4
Advances in multi-modal generative models are enabling new applications, from storytelling to automated media synthesis. Most current workloads generate simple outputs (e.g., image…
Benchmarking Compound AI Applications for Hardware-Software Co-Design
Paramuth Samuthrsindh, Angel Cervantes, Varun Gohil +3
Compound AI applications, composed from interactions between Large Language Models (LLMs), Machine Learning (ML) models, external tools and data sources are quickly becoming an int…
Towards Resource-Efficient Compound AI Systems
Gohar Irfan Chaudhry, Esha Choukse, Íñigo Goiri +3
Compound AI Systems, integrating multiple interacting components like models, retrievers, and external tools, have emerged as essential for addressing complex AI tasks. However, cu…
Junctiond: Extending FaaS Runtimes with Kernel-Bypass
Enrique Saurez, Joshua Fried, Gohar Irfan Chaudhry +5
This report explores the use of kernel-bypass networking in FaaS runtimes and demonstrates how using Junction, a novel kernel-bypass system, as the backend for executing components…
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications
Francisco Romero, Gohar Irfan Chaudhry, Íñigo Goiri +6
Function-as-a-Service (FaaS) has become an increasingly popular way for users to deploy their applications without the burden of managing the underlying infrastructure. However, ex…
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
Mohammad Shahrad, Rodrigo Fonseca, Íñigo Goiri +7
Function as a Service (FaaS) has been gaining popularity as a way to deploy computations to serverless backends in the cloud. This paradigm shifts the complexity of allocating and…